蚂蚁金服Ant International-Money Laundering Reporting Officer (MLRO)/AML Officer-LCAP Hong Kong
任职要求
1.At least 8 years of relevant compliance, regulatory or similar experience; 2.Strong regulatory compliance experience and demonstrable skills in AML, sanctions, remittance and regulatory management; 3.Knowledgeable in fintech, payment systems, money transmitter licensing or similar legal and regulatory requirements in Hong Kong and Asia; 4.A team player and the ability to work both independently and collaboratively with multiple teams located in different jurisdictions and under strict deadlines; 5.Excellent project management skills and sound judgement; 6.Self-starter with good attitude. Resourceful, adaptable and flexible in a highly engaging, demanding and rewarding environment; 7.Excellent written and verbal communication skills. Proficiency in English required. Mandarin Chinese desirable. International banking or relevant financial institution work experience a plus; 8.Willingness of travel; 9.Experience with remittance, e-commerce, payments, MSB, or financial services preferred.
工作职责
Based in Hong Kong, this individual will be the key person of the Hong Kong AML Team to support Ant Group’s Alipay business. We are looking to hire a detail-oriented, hard-working senior compliance professional to join Ant Group. This person will work closely with regulators such as Hong Kong Customs and JFIU, other AML team members, legal, risk management, data privacy and other legal/compliance professionals, as well as Business, Product and Operation teams at Ant Group. The ideal candidate will be a confident self-starter with strong interpersonal and organizational skills, exercise good judgement, experienced in the relevant Anti-Money Laundering (“AML”), Counter-Terrorist Financing (“CTF”), and sanctions in remittance, payments or financial services industry, and with demonstrable ability to effectively and proactively engage and partner with the business in a fast-paced and engaging environment. Responsibilities: 1.Act as the focal point for the oversight of all activities relating to the prevention and detection of AML/Sanctions/CTF in Hong Kong; 2.Provide support / guidance to the senior management to ensure that AML/Sanctions /CTF risks are adequately identified, understood and managed, in particular to communicate key AML/Sanctions /CTF issues including significant compliance deficiencies; 3.Carry out risk assessment at the enterprise level and on products and services offered by Ant Group; 4.Provide support and guidance to the Business Development team in relation to AML/Sanctions /CTF issues; 5.Work with in-house AML product and technology team to select and implement relevant technology solutions; 6.Actively identify and report suspicious transactions by reviewing internal disclosures and act as the main point of contact with the Hong Kong regulators and law enforcement agencies. Implement effective SAR reporting procedures in accordance with the local requirements; 7.Ensure financial crime surveillance and intelligence in country is effective; 8.Develop and review the AML/Sanctions /CTF systems to ensure they remain up-to-date, meet current statutory and regulatory requirements and are effective in managing AML/Sanctions /CTF risks arising from the business; 9.Ensure AML/Sanctions /CTF staff training is adequate, appropriate and effective; 10.Conduct due diligence review on strategic business partner to evaluate potential AML/Sanctions /CTF risks.
As the Money Laundering Reporting Officer (“MLRO”) for ANEXT Bank (“the Bank”), the individual will have overall responsibility for developing, maintaining and implementing the Bank’s AML, Countering the Financing of Terrorism (“CFT”) and Sanctions Programme. The MLRO will report to the Head of Legal & Compliance, and work closely with the Bank’s senior management to ensure that the Bank’s AML / CFT Programme is robust and in line with regulatory expectations. The ideal candidate will be a hands-on and confident self-starter with strong interpersonal and organizational skills, and the ability to work independently and collaboratively in a fast paced and dynamic working environment. • Ensure that the AML / CFT and Sanctions function is best-in-class, and continuously keeps abreast with evolving regulatory requirements and expectations. • Provide support / guidance to senior management to ensure that AML / CFT and Sanctions risks are adequately identified, understood and mitigated. • Be the main point of contact for MAS and relevant law enforcement agencies, with regards to AML / CFT matters. Work closely with Regulatory Compliance to ensure that the Bank continues to build its credibility with MAS, in respect of the Bank’s overall AML / CFT posture. • Maintain a strong relationship with the AML functions across both Ant International (“A&I”), given the close collaboration and partnerships within the A&I ecosystem. • Embrace and leverage technology to fight financial crime through the various AML / CFT control verticals viz a viz High-Risk Reviews, Transaction Monitoring, Name Screening, etc, to achieve operational efficiencies. • Collaborate with Client Risk Management and KYC Operations, in ensuring that their processes are aligned with corresponding AML / CFT policies. • Formulate, implement and perform periodic reviews of the AML / CFT and Sanctions Programme, policies and procedures for the Bank. • Ensure that AML / CFT and Sanctions training for employees is adequate, appropriate and effective.
1. Develop, maintain, and implement the Anti-Money Laundering (AML) Program. 2. Manage submissions, regulatory inquiries, audits, and ensure strong working relationships with regulatory authorities in Malaysia, including coordinating on-site inspections as needed. 3. Provide sound advice, recommendations, and solutions to relevant stakeholders regarding AML regulatory issues for licensed institutions in Malaysia. 4. Support and guide senior management to ensure that AML/CFT, and sanctions risks are adequately identified, understood, and mitigated. 5. Help formulate, review, and maintain the compliance framework, policies, and procedures to ensure ongoing compliance with AML-related laws and regulations in Malaysia. 6. Conduct periodic internal compliance training sessions and compliance risk assessments.
• Assist with the ongoing/periodic update of the relevant entities’ AML/CFT and Sanctions Program, policies and procedures • Assist with the oversight of implementation, effectiveness and sustainability of AML controls • Assist MLROs in relation to the review of escalated alerts (EDD, transaction monitoring, name screening alerts etc) • Perform suspicious transactions/activities reporting to the relevant authorities as required • Monitor, keep abreast and assess impact of AML/CFT and sanctions regulatory developments • Provide advice and guidance on relevant AML laws and regulations • Handle and advise internal stakeholders on AML / CFT and sanctions related enquiries • Identify and mitigate potential areas of AML compliance vulnerability and risks / gaps • Collaborate with Risk and Compliance functions to address AML compliance issues and engender a culture of compliance within the business • Assist with the preparation of AML materials for entity Board and risk management governance committee meetings • Assist to ensure that AML / CFT and Sanctions training for employees is adequate, appropriate and effective
1. Responsible for the governance of underlying anti-money laundering/sanctions/global trade compliance data to ensure the accuracy and completeness of data used by strategies, models, and systems. 2. Drive the identification and management of anti-money laundering/sanctions/global trade compliance risks using data-driven methods, assisting compliance officers in formulating effective risk control plans. 3. Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support. 4. Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.